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检索条件"任意字段=International Conference on Computer Distributed Control and Intelligent Environmental Monitoring"

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A Skylight Opening Prediction Method Based on Parallel Dirichlet Process Mixture Model Clustering

A Skylight Opening Prediction Method Based on Parallel Diric...

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international conference on Life System Modeling and Simulation (LSMS) / international conference on intelligent Computing for Sustainable Energy and Environment (ICSEE)

作者： Yu, Yue Deng, Li Wang, Lili Pang, Honglin Shanghai Univ Sch Mechatron Engn & Automat Shanghai 200072 Peoples R China Shanghai Key Lab Power Stn Automat Technol Shanghai 200072 Peoples R China

ISBN: (纸本)9789811063732;9789811063725

In order to process the massive distributed data, control the agricultural facilities intelligently and improve the production efficiency, a parallel Dirichlet Process Mixture Model (DPMM) clustering method is proposed in this paper based on Spark, which is a memory computing framework. Firstly, the prediction model of skylight opening degree in greenhouse is obtained by training the agricultural environmental and facilities data. Secondly, the model is used to predict the greenhouse skylight opening degree. Thirdly, by compared experiments, both the feasibility and the efficiency of the proposed parallel clustering are verified, the prediction accuracy is also calculated. The experimental results show that the proposed approach has higher efficiency and accuracy.

关键词： Dirichlet Process Mixture Model Agriculture environmental data Skylight opening value prediction Spark

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Vehicle Speed control and Safety Prototype Using controller Area Network

Vehicle Speed Control and Safety Prototype Using Controller ...

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international conference on Computational Intelligence in Data Science (ICCIDS)

作者： Wagh, Priyanka A. Pawar, Rohit R. Nalbalwar, S. L. Dr Babasaheb Ambedkar Technol Univ Dept Elect & Telecommun Engn Raigad Maharashtra India

ISBN: (纸本)9781509055951

Automotive electronics is developing a standard in vehicles. In-vehicle networking is used in control circuits to increase vehicle safety and reliability to ensure intelligent control with high performance. This paper presents the development of vehicle speed controlled driving system for a semi-autonomous vehicle to reduce or avoid emergency conditions while improving the driver-vehicle interface. In-vehicle networking works with different protocols which is a method for communicating data among distributed electronic modules via a serial data bus. CAN is a vehicle bus used for communication between microcontrollers without host computer. This system will analyze and introduce monitoring and controlling automatic headlight, vehicle speed control with obstacle detection, temperature, seat-belt and battery voltage to handle an emergency situation through two nodes which are communicating through CAN protocol. These nodes monitoring and controlling above parameters by communicating with each other.

关键词： controller Area Network CAN Automotive safety automatic headlights vehicle speed Temperature seatbelt obstacle detection battery voltage

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An artificially intelligent physical model-checking approach to detect switching-related attacks on power systems 7

An artificially intelligent physical model-checking approach...

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7th IEEE international conference on Power and Energy Systems, ICPES 2017

作者： Hariri, Mohamad El Faddel, Samy Mohammed, Osama Department of Electrical and Computer Engineering Florida International University MiamiFL United States

ISBN: (纸本)9781538624289

Decentralized and hierarchical microgrid control strategies have lain the groundwork for shaping the future smart grid. Such control approaches require the cooperation between microgrid operators in control centers, intelligent microcontrollers, and remote terminal units via secure and reliable communication networks. In order to enhance the security and complement the work of network intrusion detection systems, this paper presents an artificially intelligent physical model-checking that detects tampered-with circuit breaker switching control commands whether, due to a cyber-attack or human error. In this technique, distributed agents, which are monitoring sectionalized areas of a given microgrid, will be trained and continuously adapted to verify that incoming control commands do not violate the physical system operational standards and do not put the microgrid in an insecure state. The potential of this approach has been tested by deploying agents that monitor circuit breakers status commands on a 14-bus IEEE benchmark system. The results showed the accuracy of the proposed framework in characterizing the power system and successfully detecting malicious and/or erroneous control commands. © 2017 IEEE.

关键词： intelligent systems

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A Two-Stage Agriculture environmental Anomaly Detection Method

A Two-Stage Agriculture Environmental Anomaly Detection Meth...

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international conference on Life System Modeling and Simulation (LSMS) / international conference on intelligent Computing for Sustainable Energy and Environment (ICSEE)

作者： Wang, Lili Yu, Yue Deng, Li Pang, Honglin Shanghai Univ Sch Mechatron Engn & Automat Shanghai 200072 Peoples R China Shanghai Key Lab Power Stn Automat Technol Shanghai 200072 Peoples R China

ISBN: (纸本)9789811063640;9789811063633

In order to process abnormal problems of massive distributed greenhouse environmental data, a novel anomaly detection algorithm based on the combination of Support Vector Machine (SVM) and Gaussian Mixture Model (GMM) is proposed and realized under the Spark framework, which is utilized to detect the environmental anomaly during crop growth. At the first stage, SVM is adopted to classify the data, Spark framework is utilized to solve optimization problem iteratively;at the second stage, GMM is used to do clustering on the classified data respectively. Spark framework is utilized to update the models internationally until stable, during every iteration. Map phase implements the distribution of the sample points to the models. Reduce phase renew the numbers of models and the parameters. Finally, the detection of environmental anomaly is completed by taking advantages of the clustering result. The results show that the proposed approach can be well applied to actual production.

关键词： SVM GMM Agriculture environmental data Anomaly detection Spark

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Optimal Design and Operation of Integrated Energy System Based on Supply-Demand Coupling Analysis

Optimal Design and Operation of Integrated Energy System Bas...

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international conference on Life System Modeling and Simulation (LSMS) / international conference on intelligent Computing for Sustainable Energy and Environment (ICSEE)

作者： Wu, Qiong Ren, Hongbo Shanghai Univ Elect Power Coll Energy & Mech Engn Shanghai 200090 Peoples R China

ISBN: (纸本)9789811063640;9789811063633

In this study, a bottom-up energy system optimization model is developed to assist the decision-making towards a sustainable energy system in the local area, while accounting for both supply-side and demand-side measures. The demand-side energy efficiency measures have been modeled as virtual energy generators, so as to be considered within a uniform optimization framework. The optimization model can provide feasible system configuration of both supply-side and demand-side appliances, as well as corresponding operating strategies, in terms of either economic performance or environmental benefit. As an illustrative example, a residential area located in Kitakyushu, Japan, is employed for analysis. The simulation results suggest that the combination of distributed energy resources and energy efficiency measures may result in better economic, energy and environmental performances. Moreover, it is technically and economically feasible to achieve more than 40% reduction in CO2 emissions within the local area.

关键词： Integrated energy system Optimization model Energy efficiency distributed energy resources

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Array DBMS in environmental science: Satellite sea surface height data in the cloud 9

Array DBMS in environmental science: Satellite sea surface h...

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9th IEEE international conference on intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, IDAACS 2017

作者： Rodriges Zalipynis, Ramon Antonio National Research University Higher School of Economics Moscow Russia

ISBN: (纸本)9781538606971

Nowadays environmental science experiences tremendous growth of raster data: N-dimensional (N-d) arrays coming mainly from numeric simulation and Earth remote sensing. An array DBMS is a tool to streamline raster data processing. However, raster data are usually stored in files, not in databases. Moreover, numerous command line tools exist for processing raster files. This paper describes a distributed array DBMS under development that partially delegates raster data processing to such tools. Our DBMS offers a new N-d array data model to abstract from the files and the tools and processes data in a distributed fashion directly in their native file formats. As a case study, popular satellite altimetry data were used for the experiments carried out on 8-and 16-nodes clusters in Microsoft Azure Cloud. New array DBMS is up to 70× faster than SciDB which is the only freely available distributed array DBMS to date. © 2017 IEEE.

关键词： Remote sensing

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Swarm intelligent WSN for Smart City 1st

Swarm Intelligent WSN for Smart City

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1st international conference on Data Engineering and Communication Technology (ICDECT)

作者： Nikam, Shobha S. Mane, Pradeep B. AISSMSs Inst Informat Technol Dept Elect Engn Pune Maharashtra India

ISBN: (纸本)9789811016783;9789811016776

The smart city uses digital, computer, and communication technologies to enhance quality and performance of urban services by reducing costs and resource consumption. The smart city aims to drive economic growth and improve the living standards using state-of-the-art technology. Evolution of wireless sensor networks has been started from the idea that small wireless sensors can be used to gather information from the physical environment, in many situations ranging from monitoring the environmental, surveillance for security, health care, automated building control, traffic control, and object tracking. Sensors help each other to relay the information to the base station. The existing work includes simulation of routing protocols for WSNs in smart city and some hardware implementation. This paper presents a swarm intelligent routing algorithm for wireless sensor network to implement smart city. The particle swarm optimization (PSO) algorithm being most efficient is chosen for implementation (Yamille dl valle et al. in IEEE Trans Power Syst 12 (2): 171-195, 2008 [1]). This paper has presented the implementation of prototype for smart homes and solid waste management system, and has also proposed the solution for street light intensity control and traffic congestion detection. For smart homes, fire detection, gas leakage detection, temperature control, and light intensity control are considered, while the designed solid waste control system is capable of detecting garbage level in dustbin and conveys it to the central monitoring system. The implemented prototypes for smart homes and waste management show that it will lead toward improvement of the living standard of the people living in smart city by way of energy conservation, health, and hygiene.

关键词： WSN Swarm intelligence PSO Smart city

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1st international conference on intelligent, Secure, and Dependable Systems in distributed and Cloud Environments, ISDDC 2017

1st International Conference on Intelligent, Secure, and Dep...

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1st international conference on intelligent, Secure, and Dependable Systems in distributed and Cloud Environments, ISDDC 2017

ISBN: (纸本)9783319691541

The proceedings contain 13 papers. The special focus in this conference is on intelligent, Secure, and Dependable Systems in distributed and Cloud Environments. The topics include: Infant monitoring System Using Wearable Sensors Based on Blood Oxygen Saturation: A Review;network Behavioral Analysis for Zero-Day Malware Detection – A Case Study;detecting Broad Length Algorithmically Generated Domains;secure Cloud Computing: Multithreaded Fully Homomorphic Encryption for Legal Metrology;detecting Command and control Channel of Botnets in Cloud;an Experimental Framework for Investigating Security and Privacy of IoT Devices;dynamic Cipher for Enhanced Cryptography and Communication for Internet of Things;an Inter-device Authentication Scheme for Smart Homes Using One-Time-Password Over Infrared Channel;detection and Prevention of Blackhole Attacks in Wireless Sensor Networks;detection of Online Fake News Using N-Gram Analysis and Machine Learning Techniques.

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Traffic Signaling Optimization for intelligent and Green Transportation in Smart Cities

Traffic Signaling Optimization for Intelligent and Green Tra...

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international conference on Smart City and Emerging Technology (ICSCET)

作者： Musa Balta Ibrahim Özçelik Computer Engineering Department Sakarya University Sakarya Turkey

In today's world, population growth causes more traffic congestion, air pollution, fuel consumption, infrastructural inadequacy, health problems and so on. In order to solve these problems, some structures that have centralized, coordinated and cost efficiency plans with using limited resources through information technology, are necessary. So some smart city applications in energy, environment, transportation, infrastructure etc. have being developed to solve these problems of big cities. One of the most important smart city applications is intelligent transportation systems that allow people to drive more securely and comfortably by controlling the traffic density in urban-city. intelligent transport systems are designed to keep the traffic under control and manage the traffic dynamically according to changing traffic conditions. The most important issue in intelligent transportation systems which consist of many sub-modules such as signaling systems, electronic monitoring systems, parking management systems, is the signalization of traffic lights. Traffic signalization has been studied in the literature on many times with different perspectives. On the other hand, data to be used in traffic signaling optimization are obtained by measurement devices such as detectors, cameras etc. in traditional systems. Since these systems can be easily affected by environmental factors, it has been seen that VANET architecture is preferred for data gathering from field to center in recent academic studies. In this study, we applied traffic signaling optimization with using ant colony algorithm on an urban isolated intersection structure. Vehicles movement are set according to VANET architecture and traffic data are transmitted from road to center via VANET. It was aimed to show that decreasing in average waiting times of vehicles at intersections reduces the CO 2 emissions, fuel consumption and noise ratios in the study. For this purpose, simulations run using traffic scenarios

关键词： Vehicular ad hoc networks Communication system signaling Mathematical model Smart cities Air pollution Fuels

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Performance Evaluation of the Contention-Based Random Access of LTE Under Smart Grid Traffic 2nd

Performance Evaluation of the Contention-Based Random Access...

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2nd European-Alliance-for-Innovation (EAI) international conference on Smart Grid Inspired Future Technologies (SmartGIFT)

作者： Kalalas, Charalampos Vazquez-Gallego, Francisco Alonso-Zarate, Jesus CERCA CTTC Av Carl Friedrich Gauss 7 Castelldefels 08860 Spain

ISBN: (纸本)9783319618135;9783319618128

Power distribution networks are often widely distributed to accommodate electrical power feeds to dense cities while monitoring and control systems typically require extensive information exchange among numerous intelligent electronic devices. Using the existing network infrastructure, cellular technology appears as a key enabler for the support of large-scale metering deployments and wide-area monitoring systems. In this paper, we evaluate the performance of the contention-based random-access mechanism of LTE networks for real-time monitoring and metering applications. In particular, the impact of smart grid traffic is investigated in terms of access delay and outage probability under different network configurations and traffic characteristics. Simulations of realistic network-overload scenarios demonstrate that the random-access channel of LTE/LTE-A is prone to congestion when a high number of smart grid devices attempt for network access, while the bursty nature of monitoring traffic results in even higher performance degradation.

关键词： LTE Random-Access Channel Smart-grid traffic Metering monitoring Markov-Modulated Poisson Process

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